code: def nothing_transform(train_targets, non_train_targets):
      return train_targets, non_train_targets, lambda _: _
  
file_path: hyperparameter_hunter/tests/integration_tests/feature_engineering/test_support.py
imports: from hyperparameter_hunter import Environment, CVExperiment, FeatureEngineer, EngineerStep
  from hyperparameter_hunter import Categorical, GBRT
  from hyperparameter_hunter.utils.learning_utils import get_boston_data
  import pytest
  from sklearn.linear_model import Ridge
  from sklearn.model_selection import train_test_split
  from sklearn.preprocessing import QuantileTransformer, StandardScaler
label_desc: Use image node_id 4 for calling a global function with example usage: nothing_transform(train_targets, non_train_targets) and returns: train_targets,  non_train_targets,  function